NumPy-based implementation of random number generation sampling using Intel (R) Math Kernel Library, mirroring numpy.random, but exposing all choices of sampling algorithms available in MKL.
| Uploaded | Mon Mar 31 00:03:06 2025 |
| md5 checksum | 61716f48727b3b57238f6048ecf30df4 |
| arch | x86_64 |
| build | py312hdb19cb5_0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, mkl >=2023.1.0,<2024.0a0, mkl-service >=2.3.0,<3.0a0, python >=3.12,<3.13.0a0, blas * mkl, numpy <2.0a0 |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | 61716f48727b3b57238f6048ecf30df4 |
| name | mkl_random |
| platform | linux |
| sha1 | 9754130173f33c54c14830377053c819809b023d |
| sha256 | 8d5ba60415da3f5dc08cf3b954e479a9792bc91c93bc1d4fc7f36c74c3fd159e |
| size | 290877 |
| subdir | linux-64 |
| timestamp | 1698845773635 |
| version | 1.2.4 |